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Very interesting #science news - the first SI prefixes since 1991 were announced today at the General Conference on Weights and Measures.
➡️ quetta = \( 10^{30}\), Q
➡️ ronna = \( 10^{27}\), R
➡️ ronto = \( 10^{-27}\), r
➡️ quecto = \( 10^{-30}\), q

For example the mass of an electron is just under one quectogram (1qg).

🔗 The resolution (in French) is available here bipm.org/documents/20126/64811

#math #physics

We have written a piece describing how our new home-cage tracking paradigm can be applied to questions of behavioural individuality.

The manuscript is now online (): doi.org/10.1016/j.nbd.2022.105

RNAseq analysis of brain #aging in wild specimens of short-lived Turquoise #Killifish: commonalities and differences with aging under laboratory conditions

academic.oup.com/mbe/article/3

Upgrade your #causalinference arsenal.

A revision of our book "Causal Inference: What If" is now available

👇
hsph.harvard.edu/miguel-hernan

Thanks to everyone who suggested improvements, reported typos, and proposed new citations and material.

Enjoy the #WhatIfBook.

Also, it's free.

Never thought Elon Musk would do so much for the adoption of a decentralised infrastructure…

Please Elon, can you buy Elsevier ?

There is tremendous risk in repeatedly analyzing data as it comes in…

For example, in the absence of any effect, the p-values of repeated t-tests on a growing dataset will randomly walk between 1 and 0!

Thanks to @lakens for inspiring this simulation!

#RStats #dataviz #statistics

As someone maintaining one of said affected CRAN packages - immensely grateful for everything Hadley & the tidyverse team do for the #rstats community

Making PRs to fix breaking changes in all of your reverse dependencies is a high, high bar to follow...

twitter.com/hadleywickham/stat

In case someone didn't know, two books I've co-authored are freely available online for non-commercial use:

#Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book and lectures plus #rstats, #Python and #Stan code at avehtari.github.io/BDA_course_

#Regression and Other Stories at avehtari.github.io/ROS-Example including #rstats and #Stan code

The web sites also have links to the publishers' web stores if you prefer hard copies of these

Introducing my R package for the analysis of behavioural tracking data. Release version is focussed on the Morris water maze - but more to come.

Details, documentation and tutorials at the project website: rupertoverall.net/Rtrack/

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